---
title: "Spreeha Garg - Data Engineer in Pune City | Tal"
description: "Meet Spreeha Garg, Data Engineer @ Forma.ai | PySpark, Databricks, SQL Architecture, AWS | Building Scalable Distributed Data Pipelines & Cloud Infrastructure based in Pune City. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/spreeha-garg/share-image"
---

# Spreeha Garg on Tal

## Headline

Data Engineer @ Forma\.ai \| PySpark, Databricks, SQL Architecture, AWS \| Building Scalable Distributed Data Pipelines &amp; Cloud Infrastructure

## About

High\-performing Data &amp; Analytics Engineer with hands\-on experience building high\-throughput batch transformations, distributed Big Data pipelines, and cloud lakehouse architectures\. Selected as the sole candidate across the entire university graduating batch for the core Analytics Engineering track at Forma\.ai\. I specialize in tackling complex, scale\-driven data platform challenges—from refactoring legacy processing tasks into distributed PySpark/Databricks execution plans to designing pre\-aggregated SQL cache architectures that cut dashboard queries from minutes to milliseconds\. Core Technical Expertise: \- \*Languages &amp; Data Engineering:\* Python \(PySpark, Pandas\), SQL \(PostgreSQL, Spark SQL, ANSI\), TypeScript, C/C\+\+ \- \*Distributed Big Data Platforms:\* Apache Spark \(Execution &amp; Memory Tuning, Partitioning\), Databricks Lakehouse \- \*ETL/ELT Pipelines:\* Blueprint v3 Architecture, PythonNodes, Nested Map/Array Transformations \(explode, flatten, transform\), Automated Validation \- \*SQL &amp; Data Modeling:\* Multi\-Tier CTEs, Window Functions, Dimensional Modeling, Star/Snowflake Schemas \- \*Backend &amp; Cloud Infrastructure:\* Django \(Multi\-Tenant Systems\), Redis, Celery, AWS S3, AWS ECR, Docker, Git/GitHub Always open to connecting with engineers, tech leaders, and recruiters in the Big Data, Data Platform, and Analytics Engineering space\! \*Email:\* spreehagarg@gmail\.com

## Location

Pune City

## AI stack

claude code

claude

codex

notion

openai

ChatGPT

## Work experience

Data Engineer at Forma\.ai, Jul 2026 \- Present · 4 mos, \- Distributed Pipeline Optimization: Refactored single\-threaded data transformation scripts into distributed PySpark jobs, reducing execution runtimes by over \*45%\* across multi\-GB enterprise datasets\. \- Databricks Lakehouse Engineering: Built production PySpark notebooks and Spark SQL managed tables to power automated enterprise incentive compensation engines\. \- Nested Schema Transformations: Architected PySpark workflows using map\_values, map\_filter, explode, and array\_distinct to flatten deeply nested JSON data structures\. \- Pipeline Engine Extensions: Engineered custom PythonNodes leveraging RunContext within Forma’s proprietary Blueprint v3 execution engine to handle dynamic DataFrame state propagation\. \- Multi\-Tier SQL Analytics Modeling: Constructed modular SQL pipeline architectures using multi\-level CTEs, window functions, and time\-based rollups to generate YTD attainment and quota metrics\. \- Performance &amp; Cache Acceleration: Designed pre\-aggregated SQL cache tables, optimizing query execution paths and reducing platform dashboard response latencies from minutes to milliseconds\. \- Data Reliability Frameworks: Implemented automated schema validation layers across ETL pipeline stages, eliminating recurring runtime failures and data drift issues\. \- Production Debugging &amp; Hotfixes: Conducted root\-cause stack trace analysis across PySpark, SQL, and Python layers to issue rapid commit\-level hotfixes and perform opsval\-to\-prod environment restorations\. \- Cloud &amp; Platform Infrastructure: Configured AWS S3 bucket lifecycles and containerized microservices using Docker, Redis task brokers, and Celery asynchronous workers\.

Engineer Intern at Forma\.ai, Jan 2026 \- Jun 2026 · 6 mos

Summer Intern at Honda Cars India Pvt\. Ltd\., May 2024 \- Jul 2024 · 3 mos, Gautam Buddha Nagar, Uttar Pradesh, India, \- Executed functional and performance testing on the beta release of Honda Connect telematics software, validating edge\-to\-cloud telemetry transmission\. \- Conducted in\-depth architectural research on Telematics Control Units \(TCU\) and evaluated enterprise frameworks for vehicular data ingestion and monetization\. \- Applied QCDM \(Quality, Cost, Delivery, Management\) methodologies to automate corporate workflows and streamline system testing procedures\.

## Education

Bachelor of Technology \- BTech, Electrical and Electronics Engineering, Manipal institute of technology

Senior Secondary, Non\- medical, Queen's Valley School

[View the original profile](https://tal.club/meet/spreeha-garg)

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